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A privacy-preserving design for sharing demand-driven patient datasets over permissioned blockchains and P2P secure transfer
PeerJ Computer Science ( IF 3.5 ) Pub Date : 2021-06-09 , DOI: 10.7717/peerj-cs.568
Mercedes Rodriguez-Garcia 1 , Miguel-Angel Sicilia 2 , Juan Manuel Dodero 1
Affiliation  

Sharing patient datasets curated by health institutions is critical for the advance of monitoring, surveillance and research. However, patient data is sensitive data and it can only be released under certain conditions and with previous explicit consent. Privacy preserving data sharing provides techniques to distribute datasets minimizing the risk of identification of patients. However, the sharing of datasets is typically done without considering the needs or requests of data consumers. Blockchain technologies provide an opportunity to gather those requests and share and assemble datasets using privacy-preserving methods as data and requirements on anonymity match. The architecture and design of such a solution is described, assuming an underlying permissioned blockchain network where providers such as healthcare institutions deal with consent, patient preferences and anonymity guarantees, playing a mediator role to a network of organizations.

中文翻译:

一种隐私保护设计,用于通过许可的区块链和 P2P 安全传输共享需求驱动的患者数据集

共享由卫生机构管理的患者数据集对于推进监测、监测和研究至关重要。但是,患者数据是敏感数据,只能在特定条件下并事先获得明确同意才能发布。隐私保护数据共享提供了分发数据集的技术,以最大限度地降低识别患者的风险。然而,数据集的共享通常是在不考虑数据消费者的需求或请求的情况下完成的。区块链技术提供了一个机会来收集这些请求,并使用隐私保护方法作为数据和匿名匹配要求共享和组装数据集。描述了这种解决方案的架构和设计,假设有一个底层许可的区块链网络,其中医疗机构等提供商处理同意,
更新日期:2021-06-09
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